Data Architecture for AI/ML – What’s Involved?

Data Architecture for AI/ML – What’s Involved?

Data architecture for AI and machine learning pipelines typically involves designing a system that can efficiently handle the entire lifecycle of AI/ML projects, from data ingestion to model deployment and monitoring. Key aspects of this architecture Data ingestion...
Key Signs Your Organisation Needs an Information Strategy

Key Signs Your Organisation Needs an Information Strategy

Robust information management is crucial.   Key signs your organisation needs an information strategy include: Data silos and integration issues Inconsistencies across departments Difficult data access Poor data quality Inefficient decision-making Compliance...
How Observability Impacts on Data Quality

How Observability Impacts on Data Quality

The quality of your data can make or break your business decisions. Yet, as data volumes grow and architectures become more complex, maintaining data quality is increasingly challenging.   Concepts such as Data Quality and Observability help.   What is Data...
Fundamentals of Data Architecture

Fundamentals of Data Architecture

Understanding the fundamentals of data architecture is crucial for any organisation aiming to leverage its data assets effectively. Here’s a breakdown of what data architecture entails and the benefits it can bring:   What is Data Architecture? Data architecture...